# How Sprig Replaced Postgres, ClickHouse & Redis...with 4-8x Better Latency

DevFeed: [How Sprig Replaced Postgres, ClickHouse & Redis...with 4-8x Better Latency](<https://devfeed.tech/articles/how-sprig-replaced-postgres-clickhouse-redis-with-4-8x-better-latency-4880.md>)

Original publisher: [Read original article](<https://www.scylladb.com/2026/08/24/sprig-replaced-postgres-clickhouse-redis-4-8x-better-latency/>)

Author: Cynthia Dunlop

Published: 2026-08-24T13:30:56Z

Content type: article

Language: en

Sources: [ScyllaDB](<https://devfeed.tech/sources/scylladb.md>)

Topics: [Latency](<https://devfeed.tech/topics/latency.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [PostgreSQL](<https://devfeed.tech/topics/postgresql.md>), [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [Redis](<https://devfeed.tech/topics/redis.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Back end](<https://devfeed.tech/topics/backend.md>), [recommendation systems](<https://devfeed.tech/topics/recommendation-systems.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [backend](<https://devfeed.tech/tags/backend.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [data](<https://devfeed.tech/tags/data.md>), [databases](<https://devfeed.tech/tags/databases.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [recommendation-systems](<https://devfeed.tech/tags/recommendation-systems.md>), [redis](<https://devfeed.tech/tags/redis.md>), [user-stories](<https://devfeed.tech/tags/user-stories.md>)

## AI overview

Sprig outgrew PostgreSQL as its AI-powered product research platform scaled to more than 1.3 trillion events, 75 billion attributes, and high-volume real-time processing. The article describes its database challenges and the path toward lower-latency data infrastructure involving PostgreSQL, ClickHouse, and Redis.

## Source excerpt

With ScyllaDB, a small engineering team could focus on building their product instead of battling their databases.